Evidence map›Paper›PMID 41352727›Full record

ArticleBrain stimulation

dsGrid: a dual-site TMS grid-search method for personalized targeting of motor network connectivity.

Joseph A Deluisi, Elana R Goldenkoff, Taraz G Lee, James A Brissenden, Stephan F Taylor, Thad A Polk, George F Wittenberg, Michael Vesia

Abstract read
In one paragraph

Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Joseph A DeluisiSchool of Kinesiology, University of Michigan, Ann Arbor, USA.
Elana R GoldenkoffSchool of Kinesiology, University of Michigan, Ann Arbor, USA.
Taraz G LeeDept. of Psychology, University of Michigan, Ann Arbor, USA.
James A BrissendenDept. of Psychology, University of Michigan, Ann Arbor, USA.
Stephan F TaylorDept. of Psychiatry, University of Michigan, Ann Arbor, USA.
Thad A PolkDept. of Psychology, University of Michigan, Ann Arbor, USA.
George F WittenbergDept. of Neurology, Bioengineering, and Physical Medicine & Rehabilitation, University of Pittsburgh, Human Engineering Research Laboratory and TECH-GRECC, Dept. of Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, USA.
Michael VesiaSchool of Kinesiology, University of Michigan, Ann Arbor, USA. Electronic address: mvesia@umich.edu.

Funding

Leveraging behavioral state to enhance specificity of non-invasive brain stimulation on motor circuitsR21NS118055 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VESIA, MICHAEL · 2021 to 2021
$429k
NINDS NIH HHS R21 NS118055
6 · The paper itself

Abstract

backgroundBrain targets for transcranial magnetic stimulation (TMS) are often derived from anatomical landmarks or group-level neuroimaging data, which lack precision or personalization, contributing to the variability in TMS responses. Personalized functional magnetic resonance imaging (fMRI) may improve accuracy but remains resource-intensive and not widely accessible.

objectiveTo determine whether a new dual-site targeting method (dsGrid), based on dual-coil TMS mapping of motor connectivity, aligns with individual motor network connectivity derived from fMRI and validate its use.

methodsForty-seven participants underwent resting-state and task-based fMRI, followed by dual-coil TMS during a goal-directed action task. Motor network connectivity was quantified using fMRI, both resting-state and task-based connectivity, and task-evoked BOLD activity was also quantified. The strength of fMRI-derived motor features was assessed at the TMS target sites identified by dsGrid and compared with the strength of these measures at a conventional group-based target (e.g., the P3 electrode from a 10-20 EEG system) and registered to individual anatomy.

resultsTargets identified by dsGrid are more accurate in terms of individualized motor network connectivity and activation across all three fMRI modalities than group-based P3 coordinates mapped to individual MRI space.

conclusiondsGrid enables precise, individualized TMS targeting of functional motor circuits, supporting its use in both research and clinical neuromodulation.

Indexed as

Brain MappingMotor CortexNerve NetTranscranial Magnetic StimulationAdultEvoked Potentials, MotorFemaleHumansMagnetic Resonance ImagingMaleYoung AdultFunctional connectivityGoal-directed actionMotor cortexMotor mappingParietal cortexTMS

Identifiers

PMID41352727
PMCPMC13284814

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.